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Remote Machine Learning Compiler Engineer Jobs in Phoenix, AZ

About the job Full Stack AI Engineer - Security Arrivia Remote-US Full-time Paste this url into ... You sit where machine learning meets cybersecurity, building models that catch fraud, abuse ...

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Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ ยท Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Data Solutions Engineer

Tempe, AZ ยท On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Senior Data & AI Engineer

Phoenix, AZ ยท Remote

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep handsa'on experience in ... Analytics & Machine Learning * Build ML pipelines for risk stratification, cost/utilization ...

... machine learning, statistical modeling, and data analysis. - Proficiency in programming languages such as Python and SQL. - Experience with time series forecasting techniques (e.g., Prophet, ARIMA ...

ML Security Engineer

Tempe, AZ ยท Remote

$100K - $150K/yr

ML Security Engineer- Remote Bright Vision Technologies is a technology consulting and software ... and machine learning systems. The role addresses the unique security challenges posed by LLMs ...

GCP Data Engineer

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

GCP Data Engineer

Phoenix, AZ ยท Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Research Scientist, Simulation Agents

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Research Scientist, Simulation Agents

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

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Remote Machine Learning Compiler Engineer information

See Phoenix, AZ salary details

$74.5K

$166.3K

$203.5K

How much do remote machine learning compiler engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote machine learning compiler engineer in Phoenix, AZ is $166,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,000.00 and $203,500.00 per year, depending on experience, location, and employer.

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Compiler Engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Phoenix, AZ? The most popular types of Machine Learning Compiler Engineer jobs in Phoenix, AZ are:

Full Stack AI Engineer, Security

Provn

Scottsdale, AZ โ€ข Remote

$130K - $170K/yr

Full-time

Posted 18 hours ago


Job description

About the job

Full Stack AI Engineer - Security
Arrivia
Remote-US Full-time

Paste this url into your browser to view the full job description and apply directly provn.co:
https://provn.co/org/arrivia/jobs/5ce48ab7-5f43-4634-9c2b-898c97099862/full-stack-ai-engineer-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-fse-security

Job Context

Arrivia powers the travel behind many of the world's membership and loyalty brands. Its private travel marketplace gives members access to deeply discounted cruises, resorts, and hotels, and its platform runs the booking, servicing, and rewards underneath those programs. The engineering teams build and scale that platform across a distributed, cloud-native architecture.

As a Full Stack AI Engineer on the security team, you design, build, and deploy the AI systems that protect Arrivia's platforms, members, and data. You sit where machine learning meets cybersecurity, building models that catch fraud, abuse, intrusion, and data leakage, and owning the pipelines behind them from data ingestion through training, evaluation, and deployment into production. You integrate what you build with the reliability and low latency the platform demands, and you keep the defenses sharp as threats and adversarial techniques evolve. This role reports to the Security Ops Lead and is Remote-US (open to most states, with a few exceptions listed on the role page).

You fit if you have shipped machine learning to production and you pair that with a solid grounding in security, from threat modeling to authentication. You work fluently in Python and frameworks like PyTorch, TensorFlow, or scikit-learn, and you are comfortable with large-scale data and MLOps practices like monitoring and model lifecycle management on the cloud. A background in fraud detection, trust and safety, adversarial ML, or SIEM and SOAR tooling is a strong plus. The full requirements live on the role page at provn.co.

How hiring works here

Applying with Provn is designed to get more interviews for the best candidates coming in without a referral. The challenge is the first step of the application, and it carries as much weight as anything else you submit. Instead of sending a cold resume into an ATS and waiting, you complete a challenge built by Arrivia: you build the work, then record a short video walking through how you approached it. You'll use AI the way you would on the job, and you'll show the thinking behind what you built.

Both the artifact and the video are required to complete your application, and only complete applications are considered for this role. You'll take on a threat-detection problem shaped like the work you'd actually do here and show how you scoped it, where you made the trade-offs, and why.

Why that works in your favor:

  • You show how you actually build and ship AI systems against real security problems, instead of hoping a resume gets it across.
  • Your judgment with AI and ML becomes visible, which no "experience with PyTorch and anomaly detection" resume bullet can prove.
  • One challenge puts you in front of the security team, scored on the work, with no referral required to get there.

The hiring manager reviews every completed submission, and the strongest candidates go straight to an interview round. No referral needed. Performance over pedigree. Proof over polish.

What's in it for you

Compensation for this role is $130,000-$170,000. Salary is competitive and will be discussed during interviews. You also get access to the private travel marketplace with deeply discounted cruises, resorts, and hotels, comprehensive medical, dental, and vision coverage, and a 401k with company match. Beyond the package, you build AI-driven defenses that protect members worldwide, with the freedom to research emerging threats and put real models into production against them.

Apply by completing the challenge at provn.co, where the full role details live. Applications are open through August 28.

Paste this url into your browser to view the full job description and apply directly provn.co:
https://provn.co/org/arrivia/jobs/5ce48ab7-5f43-4634-9c2b-898c97099862/full-stack-ai-engineer-security?utm_source=dstribute&utm_medium=job+boards&utm_campaign=arrivia-fse-security